The MoJo family: a story about clustering evaluation (invited talk)

Zhihua Wen, Vassilios Tzerpos
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Abstract

The need to decompose large, complex software systems into smaller, more manageable subsystems has been recognized for more than two decades. Many cluster analysis algorithms have been applied to the software domain, and several algorithms specializing in software clustering have been developed. This in turn has created the need to evaluate and compare clustering results. This talk will present some background on the software clustering problem and its challenges, as well as the software clustering evaluation and its challenges. It will then discuss the MoJo family of measures with an emphasis on MoJoFM (originally presented at IWPC 2004).
MoJo家族:关于聚类评估的故事(特邀演讲)
将大型、复杂的软件系统分解为更小、更易于管理的子系统的需求已经被认识了20多年。许多聚类分析算法已经应用于软件领域,并且已经开发了一些专门用于软件聚类的算法。这反过来又产生了评估和比较聚类结果的需要。本讲座将介绍软件聚类问题及其挑战的背景,以及软件聚类评估及其挑战。然后讨论MoJo度量系列,重点是MoJoFM(最初在IWPC 2004上提出)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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